Methods

The following graphs were created using r, following tutorials and examples from various sources. The data was taken from Johns Hopkins University. All code, warnings, and messages have been excluded from this report. Graphs were created using both specific daily reports and time-series data for various counties, provinces, states, and countries.

Packages utilized include tidyverse, maps, mapdata, lubridate, viridis, wesanderson, plotly, gganimate, and transformr.

Results

This graph demonstrates the confirmed COVID-19 cases in different China provinces as of March 31, 2020.

This map is colored according to the amount of deaths from COVID-19 in each US state as of March 27, 2020.

This map of New England is broken down into counties, and shaded according to the amount of confirmed COVID-19 cases within the county.

This is an interactive version of the previous map, allowing for specific values of confirmed cases to be obtained by scrolling over the county of interest.

This map of China over time shows the levels of confirmed COVID-19 cases throughout the various provinces.

This line plot breaks down the increase in confirmed COVID-19 cases over time, and throughout provinces of China. Hubei noticably has the largest amount of cases, as Wuhan, the epicenter of the outbreak, is located within this region.

Application written in R (R Core Team 2015) using data from JHU (JHU CSSE Team 2020). Also using Lab 10 Tutorial (Blanchard 2020), and packages R Markdown (RMarkdown Team 2015), Ggplot2 (Wickham 2009), and R studio (RStudio Team 2015).

References

Blanchard, J. 2020. “Data Maps, Interactive Graphs and Animations from the Covid-19 Reporting Data.” Tutorial. https://moodle.umass.edu/course/view.php?id=64851.

JHU CSSE Team. 2020. “COVID-19.” Data. https://github.com/CSSEGISandData/COVID-19.

R Core Team. 2015. “R: A Language and Environment for Statistical Computing.” Journal Article. http://www.R-project.org.

RMarkdown Team. 2015. “Rmarkdown: R Markdown Document Conversion, R Package.” Journal Article. http://rmarkdown.rstudio.com/.

RStudio Team. 2015. “RStudio: Integrated Development Environment for R.” Journal Article. http://www.rstudio.com/.

Wickham, Hadley. 2009. “Ggplot2: Elegant Graphics for Data Analysis.” Journal Article. http://ggplot2.org/.